St. Jude Children's Research Hospital - ALSAC
Principal Data Scientist, Marketing Analytics and Data Science (Hybrid)
St. Jude Children's Research Hospital - ALSAC, Phoenix, Arizona, United States, 85003
Overview
Principal Data Scientist, Marketing Analytics and Data Science (Hybrid) at St. Jude Children's Research Hospital - ALSAC. This net-new role leads the development and evolution of Marketing Mix Modeling (MMM) capabilities within the Marketing Analytics and Data Science team. The position offers the opportunity to shape enterprise-wide measurement frameworks, drive strategic planning through scenario simulation, and pioneer AI-driven innovation in donor intelligence. As a senior individual contributor, you will provide technical leadership, collaborate with external vendors in a build-operate-transfer model, and mentor junior data scientists. You will translate complex business questions into actionable analytical frameworks, ensuring modeling outputs are rigorous and aligned with strategic goals. Location: National Headquarters in Memphis or any of ALSAC’s 28 US-based territory offices. Responsibilities
MMM Capability Ownership: Lead the design, validation, and continuous improvement of MMM solutions. Collaborate with vendors and internal teams to ensure scalable, accurate, and business-aligned models. Cross-Functional Partnership: Work closely with marketing, finance, and media teams to align modeling efforts with business objectives and ensure insights are relevant and actionable. Model Quality & Innovation: Champion data integrity, model validation, and methodological innovation. Stay ahead of industry trends in MMM, MTA, and causal inference. Testing & Experimentation Strategy: Design robust testing frameworks to evaluate model reliability pre- and post-deployment. Integrated Measurement Strategy: Support integration of MMM with other measurement approaches (e.g., MTA) to enable a unified view of marketing performance. Analytical Framework Development: Translate complex business challenges into structured analytical approaches. Ensure alignment with strategic goals through collaboration with analysts and stakeholders. Mentorship & Best Practices: Mentor junior team members, promote modeling standards, and foster a culture of excellence and continuous learning. Top Skills & Experience
Advanced Modeling & Causal Inference: Expertise in MTA, Bayesian modeling, Markov chains, SEM, and survival analysis; skilled in causal inference techniques (DiD, synthetic control, BART). Enterprise-Scale Forecasting & Simulation: Experience building modular forecasting pipelines with elasticity-aware logic; designing scenario simulators with constraints and real-time feedback; familiarity with ensemble models, neural networks, and meta-modeling. Strategic Insight & Stakeholder Engagement: Ability to translate complex outputs into executive-ready insights; experience presenting to senior leadership and crafting strategic narratives; skilled in communicating uncertainty and scenario governance. Data Engineering Fluency: Deep understanding of feature engineering, temporal alignment, and data lineage; experience collaborating with ML engineers and MLOps teams; proficient with structured/unstructured data across CRM, media, finance, and APIs. Additional Impact Areas
Enterprise-Wide Modeling: Extend MMM frameworks to include donor experience, bequests, and internal investments. Scenario Simulation Leadership: Co-lead the design of ALSAC’s What-If Scenario Simulator for strategic planning. AI & GenAI Innovation: Contribute to AI agent and GenAI tool development for donor intelligence and scenario planning. Governance & Transparency: Implement model governance, version control, and explainability tools (e.g., SHAP, LIME). Strategic Growth Path: Role evolves with ALSAC’s analytics maturity, offering long-term leadership opportunities. Qualifications
Bachelor’s degree in Statistics, Economics, Computer Science, or related quantitative field required. 10+ years of experience in marketing analytics, data science, or econometric modeling, with a focus on MMM. Advanced degree (Master’s or PhD) strongly preferred. Demonstrated success in enterprise-scale modeling and strategic analytics leadership. Benefits & Perks: Core Medical Coverage, 401K with 7% Employer Contribution, generous paid time off, parental leave, infertility treatment program, adoption assistance, education assistance, enterprise learning and development, and more. Equal Opportunity
ALSAC is an equal employment opportunity employer. ALSAC does not discriminate on race, color, religion, sex, national origin, age, sexual orientation, gender identity, transgender status, disability, veteran status, genetic information or other protected status. No Search Firms.
#J-18808-Ljbffr
Principal Data Scientist, Marketing Analytics and Data Science (Hybrid) at St. Jude Children's Research Hospital - ALSAC. This net-new role leads the development and evolution of Marketing Mix Modeling (MMM) capabilities within the Marketing Analytics and Data Science team. The position offers the opportunity to shape enterprise-wide measurement frameworks, drive strategic planning through scenario simulation, and pioneer AI-driven innovation in donor intelligence. As a senior individual contributor, you will provide technical leadership, collaborate with external vendors in a build-operate-transfer model, and mentor junior data scientists. You will translate complex business questions into actionable analytical frameworks, ensuring modeling outputs are rigorous and aligned with strategic goals. Location: National Headquarters in Memphis or any of ALSAC’s 28 US-based territory offices. Responsibilities
MMM Capability Ownership: Lead the design, validation, and continuous improvement of MMM solutions. Collaborate with vendors and internal teams to ensure scalable, accurate, and business-aligned models. Cross-Functional Partnership: Work closely with marketing, finance, and media teams to align modeling efforts with business objectives and ensure insights are relevant and actionable. Model Quality & Innovation: Champion data integrity, model validation, and methodological innovation. Stay ahead of industry trends in MMM, MTA, and causal inference. Testing & Experimentation Strategy: Design robust testing frameworks to evaluate model reliability pre- and post-deployment. Integrated Measurement Strategy: Support integration of MMM with other measurement approaches (e.g., MTA) to enable a unified view of marketing performance. Analytical Framework Development: Translate complex business challenges into structured analytical approaches. Ensure alignment with strategic goals through collaboration with analysts and stakeholders. Mentorship & Best Practices: Mentor junior team members, promote modeling standards, and foster a culture of excellence and continuous learning. Top Skills & Experience
Advanced Modeling & Causal Inference: Expertise in MTA, Bayesian modeling, Markov chains, SEM, and survival analysis; skilled in causal inference techniques (DiD, synthetic control, BART). Enterprise-Scale Forecasting & Simulation: Experience building modular forecasting pipelines with elasticity-aware logic; designing scenario simulators with constraints and real-time feedback; familiarity with ensemble models, neural networks, and meta-modeling. Strategic Insight & Stakeholder Engagement: Ability to translate complex outputs into executive-ready insights; experience presenting to senior leadership and crafting strategic narratives; skilled in communicating uncertainty and scenario governance. Data Engineering Fluency: Deep understanding of feature engineering, temporal alignment, and data lineage; experience collaborating with ML engineers and MLOps teams; proficient with structured/unstructured data across CRM, media, finance, and APIs. Additional Impact Areas
Enterprise-Wide Modeling: Extend MMM frameworks to include donor experience, bequests, and internal investments. Scenario Simulation Leadership: Co-lead the design of ALSAC’s What-If Scenario Simulator for strategic planning. AI & GenAI Innovation: Contribute to AI agent and GenAI tool development for donor intelligence and scenario planning. Governance & Transparency: Implement model governance, version control, and explainability tools (e.g., SHAP, LIME). Strategic Growth Path: Role evolves with ALSAC’s analytics maturity, offering long-term leadership opportunities. Qualifications
Bachelor’s degree in Statistics, Economics, Computer Science, or related quantitative field required. 10+ years of experience in marketing analytics, data science, or econometric modeling, with a focus on MMM. Advanced degree (Master’s or PhD) strongly preferred. Demonstrated success in enterprise-scale modeling and strategic analytics leadership. Benefits & Perks: Core Medical Coverage, 401K with 7% Employer Contribution, generous paid time off, parental leave, infertility treatment program, adoption assistance, education assistance, enterprise learning and development, and more. Equal Opportunity
ALSAC is an equal employment opportunity employer. ALSAC does not discriminate on race, color, religion, sex, national origin, age, sexual orientation, gender identity, transgender status, disability, veteran status, genetic information or other protected status. No Search Firms.
#J-18808-Ljbffr